2026 ASEE Annual Conference & Exposition

Improving AI Literacy in Graduate Research Training: Integrating Prompt Engineering into Research Methods Courses

Presented at CONST 1 - AI Foundations in Construction Education: Literacy, Practice, and Access

With the rise of generative artificial intelligence (AI) technologies, such as large language models (LLMs), scholarly research practices are undergoing transformation. Effective use of these tools requires proficiency in prompt engineering, the practice of designing and refining prompts to interact with, build upon, and leverage the capabilities of LLMs. Despite its growing importance, prompt engineering is not yet adequately incorporated into most graduate-level research methods curricula. The present study highlights the need for its integration as a critical AI literacy component alongside traditional research skills in research design, data collection, analysis, and interpretation. The study explores the integration of a structured prompt engineering instructional module into a graduate research method course in civil and construction programs. Using a one-group pretest-posttest pilot design, both qualitative and quantitative data were collected to examine changes in students’ perceived AI literacy, ethical awareness, and objective knowledge of prompt engineering concepts. The findings suggest that such instruction can improve students’ perceived skills and confidence in applying LLMs to research tasks. This study provides preliminary evidence to support the inclusion of prompt engineering in graduate research training and offers practical implications for curriculum development in engineering education.

Authors
  1. Dr. Vineeth Dharmapalan University of Hawaii at Manoa [biography]
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